Dodecad Eurasia 7
Dodecad Eurasia 7 provides a clear seven-way decomposition of autosomal ancestry for modern-era samples. Comparing your genotype to seven reference populations (Sub_Saharan, West_Asian, Atlantic_Baltic, East_Asian, Southern, South_Asian, Siberian), it returns percentage estimates of major Eurasian and adjacent ancestries—ideal for genetic genealogists, researchers, and curious users seeking a high-level, interpretable admixture snapshot.
计算器细节
有关此混合计算器的全面信息
关于此计算器
Dodecad Eurasia 7 — Modern-era admixture calculator
This calculator estimates an individual's autosomal ancestry proportions using a seven-component model designed to capture broad continental and regional variation across Eurasia and surrounding regions. It compares a tested genotype to seven reference populations: Sub_Saharan, West_Asian, Atlantic_Baltic, East_Asian, Southern, South_Asian, and Siberian, returning interpretable percentage contributions that reflect recent and deep shared ancestry.
Who it's for
- Genetic genealogists seeking clearer regional breakdowns beyond continental labels
- Population geneticists and students exploring contemporary Eurasian admixture patterns
- Curious users worldwide who want a high-level snapshot of ancestral components
What you gain
- A concise, seven-way decomposition of autosomal ancestry expressed as percentages
- A sense of major genetic influences (e.g., West Asian vs. Atlantic-Baltic) relevant to Eurasian histories
- Comparative context for interpreting heritage in light of migration, admixture, and population structure
Historical and genetic context
This model is rooted in modern population-genetics practice: reducing complex variation into major axes that reflect historical migrations and long-term isolation. Components like Atlantic_Baltic and West_Asian capture northwest and southwest Eurasian affinities respectively, while East_Asian, South_Asian, and Siberian reflect distinct eastern and central Asian ancestries. Sub_Saharan and Southern provide crucial contrast for African and Near/Mediterranean signals. The result is not a postcode of ancestry but a statistical portrait of genetic affinities shaped by millennia of movement.
Why use it
- Fast, intuitive overview of where genetic signal clusters across Eurasia
- Useful starting point for deeper analysis with finer-scale tools or historical records
- Designed for global samples; robust to a wide range of background
参考人口
计算器中用作遗传参考的种群
7 Reference Populations
Sub_Saharan
- Populations: Ethnic groups primarily located in Africa south of the Sahara Desert, including Bantu-speaking peoples, Nilotic, and other indigenous groups.
West_Asian
- Populations: Diverse groups in Western Asia, including Arabs, Persians, Turks, and other ethnicities in regions like the Middle East and parts of the Caucasus.
Atlantic_Baltic
- Populations: Groups in northern Europe, including those from the Atlantic coastal regions and the Baltic states, such as Scandinavians, Finnic peoples, and other Eastern European ethnic groups.
East_Asian
- Populations: Ethnic groups in East Asia, including Chinese, Japanese, Koreans, and Mongolic peoples.
Southern
- Populations: Refers to populations in Southern Europe, including Mediterranean countries like Italy, Greece, and the Iberian Peninsula, often overlapping with parts of the Balkans.
South_Asian
- Populations: Ethnic groups in the Indian subcontinent, including Indo-Aryans, Dravidians, and other ethnic minorities of India, Pakistan, Bangladesh, and Sri Lanka.
Siberian
- Populations: Indigenous peoples of Siberia, such as the Nenets, Evenki, and other smaller groups with a presence in vast, sparsely populated areas of Russia.
Grouped by Continent:
Africa
- Sub_Saharan
Asia
- West_Asian
- East_Asian
- South_Asian
- Siberian
Europe
- Atlantic_Baltic
- Southern
理解混合分析
学习混合计算器如何工作,如何解释结果
什么是“混合分析”?
混合分析是用来通过将你的DNA与来自世界各地的参考人群进行比较来估计你的基因祖先的一种方法。 把它看作是创造了你的基因化妆的食谱, 即成分是不同的祖先种群。
此计算器使用 7 仔细选择 modern 作为参考,可以详细分解您的遗传遗产。
如何运作
- 将您的 DNA 与 7 个参考人群进行比较
- 以 Modern 人群作为遗传参考
- 结果显示你的基因与这些种群相似
- 使用不同的参考面板更准确
了解你的成果
您的研究结果将显示与这些参考人群的遗传相似性的百分比。请记住这些要点:
- 结果反映了遗传相似性,而不是直接祖先
- Modern populations are used as references
- 表明相对遗传贡献的百分比
- 结果是根据现有参考数据作出的估计数